{"id":"W2614623712","doi":"10.5281/zenodo.1130672","title":"Optimization Of Doubly Fed Induction Generator Equivalent Circuit Parameters By Direct Search Method","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"AC power; Induction generator; Control theory (sociology); Rotor (electric); Stator; Wind power; Fault (geology); Power (physics); Voltage; Computer science; Equivalent circuit; Automotive engineering; Engineering; Electrical engineering; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009583058,0.0001674942,0.0002437435,0.0001956462,0.001254254,0.0007668906,0.0009259702,0.0001001127,0.00114381],"category_scores_gemma":[0.0003960964,0.0001825504,0.00006684024,0.0002139251,0.00009352886,0.0004197787,0.0003621565,0.0002278426,0.0004373676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000196595,"about_ca_system_score_gemma":0.000003573809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005735353,"about_ca_topic_score_gemma":2.124015e-7,"domain_scores_codex":[0.9982653,0.0003154007,0.0003342457,0.0003289344,0.0004127122,0.0003434304],"domain_scores_gemma":[0.9985388,0.00002470052,0.0001389341,0.0007345121,0.0004075842,0.0001554937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001463577,0.0001961715,0.00004387561,0.0004833418,0.0004756817,0.00001224284,0.001736202,0.4151736,0.3014126,0.0008694181,0.1299043,0.1495462],"study_design_scores_gemma":[0.003819195,0.0006887441,0.001132293,0.000188157,0.0001215809,0.0001222194,0.0003431605,0.3654042,0.09704315,0.00007451501,0.5299938,0.001069063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1851605,0.0006079298,0.6292359,0.0006578969,0.001409114,0.00232987,0.0007841694,0.003122767,0.1766919],"genre_scores_gemma":[0.9960059,0.00006147698,0.001813807,0.00001228676,0.0001617661,1.776439e-7,0.0004905778,0.001074618,0.0003794227],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8108454,"threshold_uncertainty_score":0.9997693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05310435107792736,"score_gpt":0.2588381864255264,"score_spread":0.2057338353475991,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}